Journals
- L.E. Coursey, B.C. Williams, J.B. Kenworthy, P.B. Paulus, S. Doboli: Divergent
and Convergent Group Creativity in an Asynchronous Online Environment, Journal
of Creative Behavior, Published on 12 July 2018 https://doi.org/10.1002/jocb.363
- H. Li, X. Liu, F Jiao, A. Doboli and S. Doboli, InnovA: A Cognitive Architecture
for Computational innovation through robust divergence and its application for analog
circuit design, IEEE Transactions on CAD of Integrated Circuits and Systems,
Vol 37(10), Oct 2018, pp. 1943-1956.
- A. Doboli, A. Umbarkar, S. Doboli, J. Betz, Modeling Semantic Knowledge Structures
for Creative Problem Solving: Six Studies on Expressing Concepts, Categories,
Associations, Goals and Context, Knowledge-based Systems, Kluwer, published,
January 2015.
- A. Umbarkar, V. Subramanian, A. Doboli, and S. Doboli, Two Experimental Studies
on Creative Concept Combinations in Modular Design of Electronic Embedded
Systems, Design Studies, Elsevier, 35, 2014, pp. 80-109.
- F. Jiao, S. Montano, C. Ferent, A. Doboli, S. Doboli, Analog Circuit Design
Knowledge Mining: Discovering Topological Similarities and Uncovering Design
Reasoning Strategies, IEEE Transactions on CADICS, Vol. 34, No. 7, July 2015,.
- Ferent, C., Doboli, A., and Doboli, S. An Axiomatic Model for Concept Structure
Description and Its Application to Circuit Design, Knowledge-based Systems,
Elsevier, Vol. 45, June 2013, pp. 114-133.
- P. Paulus, D. Levine, V. Brown, A.A. Minai, and S. Doboli. Modeling Ideational
Creativity in Groups: Connecting Cognitive, Neural and Computational Approaches.
Small Group Research, Vol. 41(6), pp. 688-724, December 2010.
- L.R. Iyer, S. Doboli, A.A. Minai, V.R. Brown, D. S. Levine, P. B. Paulus, Neural
dynamics of idea generation and the effects of priming, Neural Networks, Vol. 22,
Issue 5-6 , pp. 674-686, 2009.
- H. Zhang, S. Doboli, H. Tang, A. Doboli. Compiled code
simulation of analog and mixed-signal systems using piecewise linear
modeling of nonlinear parameters. Integration the VLSI Journal ,
Vol. 40, No. 3, pp. 193-209, 2007.
- S. Kallakuri, A. Doboli, S. Doboli. Applying stochastic
modeling to bus arbitration for network-on-chip systems.
Integration the VLSI Journal , Special issue on VLSI System-On-Chip
Vol. 40, Issue 2, February 2007, Pages 183-191.
- S. Doboli and A.A. Minai. Network capacity analysis
for latent attractor computation. Network:Comput. Neural Syst.,
14:273-302, 2003.
- S. Doboli, A.A. Minai, and P.J. Best. A computational
model of the interaction between external and internal cues for the
control of hippocampal place cells. Neurocomputing ,
52-54:371-379, 2003.
- S. Doboli, A.A. Minai, P.J. Best and A.M. White. An
attractor model for hippocampal place cell hysteresis.
Neurocomputing 38-40:1185-1191, 2001.
- S. Doboli, A.A. Minai, and P.J. Best. Latent
attractors: a model for context-dependent place representations in the
hippocampus. Neural Computation , 12:1009-1043, 2000.
- S. Doboli, A.A. Minai, and P.J. Best. A comparison
of context-dependent hippocampal place codes in 1-layer and 2-layer
recurrent networks. Neurocomputing, 32-33:353-358, 2000.
Book Chapters
- N. Parthasarathy, S. Doboli, and P.B. Paulus: Entrepreneurship. In M. Runco and
S. Pritzker (Eds.), it Encyclopedia of Creativity, 2nd Edition. Elsevier, volume 1,
pp. 461-467, 2011.
- S. Doboli, A.A. Minai. Latent attractors: A general paradigm for
context-dependent neural computation. In Ke Chen, Lipo Wang (Eds.)
Trends in Neural Computation , Springer-Verlag, ISBN-10:
3-540-36121-9, 2007.
S. Doboli, A.A. Minai, P.J. Best. Different
Hippocampal Place Cell Maps for Different Environments. In P. Sharp
(Ed.) The Neural Basis of Navigation: Evidence from Single Cell
Recording , Kluwer Academic Publishers, ISBN:
0792375793, 2002.
Peer-reviewed Conference Papers
- M. Mei, X. Guo, B.C. Williams, Simona Doboli, J.B. Kenworthy, P.B. Paulus,
A.A. Minai: Using Semantic Clustering And Autoencoders For Detecting Novelty
In Corpora Of Short Texts. In Proceedings of the International Joint Conference
on Neural Networks (IJCNN'2018), 2018: 1-8
- Hensley, A., and Doboli, A., and Mangoubi, R., and Doboli, S.: Generalized Label
Propagation. In Proceedings of the International Joint Conference on Neural
Networks, Ireland, July 2015.
- Doboli, A., and Doboli, S.: iflows: A Novel Simulation Model for Predicting
the Effectiveness of a Research Community. In Proceedings of the 2014 IEEE
Symposium Series on Computational Intelligence (SSCI), Orlando, Fl, December
2014.
- Doboli, S., Jacques, M., Minai, A.A., Paulus, P., Korde, R., and Doboli, A.: Modeling
the effect of hint timing on the idea generation process. In Proceedings of
the International Joint Conference on Neural Networks, Dallas, TX, August 2013.
- Doboli, A. and Doboli S.: Dual-process architecture for reasoning in design innovation
problems, In Proceedings of the International Joint Conference on Neural
Networks, Dallas, TX, August 2013.
- Doboli, S.: Work in Progress - Computing for middle-school students: The experience
of teaching computers for 7th grade students. In Proceedings of the Frontiers
in Education Conference, 2011.
- Currie, E.H., Doboli, S. and Kamberova, G.L. Entrepreneurs- Developing the Next
Generation, In Proceedings of the Frontiers in Education Conference, 2011.
- Kamberova, G.K., Pacelli, A., Impagliazzo, J., Currie, E.H., Doboli, S.. Patents
and Intellectual Property in Entrepreneurship Education in Computing at Hofstra
University. In Proceedings of the Frontiers in Education Conference, 2011.
- Doboli, S. and Brown, V.R. An emergent attractors model for idea generation
process. In Proceedings of the 2010 International Joint Conference on Neural
Networks, pp. 1-8, Barcelona, Spain, 2010.
- A.A Minai, L. Iyer, D. Padur and S. Doboli: A Dynamical Connectionist Model
of Idea Generation. In proceedings of the 2009 International Joint Conference on
Neural Networks, pp. 2777-2783 , Atlanta, Georgia, USA, 2009.
- L.R. Iyer, A.A. Minai, V.R. Brown, P.B. Paulus and S. Doboli: Effects of relevant
and irrelevant primes on idea generation : A computational model. In Proceedings
of the 2009 International Joint Conference on Neural Networks, Atlanta, GA, 2009.
- Ali A. Minai, Laxmi R. Iyer, Divyachapan Padur, Simona Doboli and Vincent
R. Brown: A Graded Attractors: Configuring Context-Dependent Workspaces for
Ideation, Proceedings of the AAAI Symposium on Brain-Inspired Cognitive Architectures
(BICA'09), Arlington, VA, November 2009.
- A. Doboli, S. Doboli and E. Currie, ”Preparing Computer Engineers for a Global
Economy: A Study on Effective Collaboration Practices in Global Student Teams”,
In Proceedings of the Frontiers in Education Conference (FIE'2009), Austin, TX,
2009.
- W. Tang, S. Doboli, L. Gafney and S. Lowes, Project EXCE2L: A work in progress
to revitalize undergraduate computing curriculum through entrepreneurship, In Proceedings
of the 2009 International Conference on Frontiers in Education: Computer
Science and Computer Engineering, Las Vegas, NV, July 13-16, 2009.
- A. Doboli, S. Doboli, E. H. Currie. Visual Embedded System Programming Has
Arrived! In Proceedings of the 38th ASEE/IEEE Frontiers in Education Conference,
Saratoga Springs, NY, October 22 -25, 2008.
- L.R. Iyer, A.A. Minai, S. Doboli, and V.R. Brown. Modeling exploration and
exploitation in creative idea generation. Proceedings of the 19th Midwest Artificial
Intelligence and Cognitive Science Conference, Cincinnati, OH, 2008.
- S. Kallakuri, A. Doboli, S. Doboli, D. Pescaru and Daniel Curiac: SoC Design
Point Selection for Dynamic Adaptation under Continuously Varying Throughput
Constraints In Proceedings of NASA/ESA Conference on Adaptive Hardware and
Systems, August 2007.
L. Iyer and A.A. Minai, S. Doboli, V. Brown: Modularity and
Self-Organized Functional Architectures in the Brain. In Proceedings
of the 7th International Conference on Complex Systems
(ICCS'2007), Boston, MA, November 2007.
S. Doboli, A.A. Minai and V. Brown. Adaptive Dynamic Modularity
in a Connectionist Model of Context-Dependent Idea Generation, In
Proceedings of the International Joint Conference of Neural
Networks (IJCNN'2007), January 2007.
S. Luryi, W. Tang, N. Lifshitz, Y. Shamash, G. Wolf, S. Doboli,
J.A. Betz, P.Maritato. Entrepreneurship in Engineering Education. In
Proceedings of the Frontier in Education Conference , Milwaukee,
Wisconsin, October 10-13, 2007.
N.A. George, A.A. Minai, S. Doboli. Self-organized inference of
spatial structure in randomly deployed sensor networks. To appear in
Proceedings of the 6th International Conference on Complex
Systems (ICCS'2006), Boston, MA, November 2006.
N. Thepayasuwan, S. Kallakuri, S. Doboli, A. Doboli.
Communication subsystem synthesis and analysis tool using bus
architecture generation and stochastic arbitration policies. In the
proceedings of the IEEE International Symposium on Circuits and
System (ISCAS'2005), Kobe, Japan, 23-26, Page(s):1044 -
1047 Vol. 2, May 2005.
S. Doboli and A.A. Minai. Using latent attractors to
discern temporal order. In Proceedings of the International Joint
Conference on Neural Networks (IJCNN'2004), Budapest,
Hungary, 2004.
R. M. Bateman and S. Doboli. Reinforcement learning
algorithm using neural networks for playing Othello. In Proceedings
of the Conference on Computer Games: Design, AI and
Education (CGAIDE'2004), Microsoft Academic Campus, Reading,
UK, 2004.
S. Kallakuri, A. Doboli, S. Doboli. Stochastic
modeling based environment for synthesis and comparison of bus
arbitration policies. In Proceedings of the International
Symposium on VLSI (ISVLSI'2004), 2004.
Y. Weng, S. Kallakuri, A. Liang, A. Doboli, S. Hong,
T. Robertazzi and S. Doboli. Dynamic architecture
adaptation to improve scalability of sensor netwokorks: A case
study for a smart sensor for face recognition. In Proceedings of
the Real-Time Systems Symposium (Work in Progress
Section), (RTSS'20004), Lisbon, Portugal, 2004.
-
S. Doboli, G. Gothoskar, A. Doboli. Extraction of
Piecewise-Linear Analog Circuit Models from Trained Neural Networks
using Hidden Neuron Clustering. In Proc of DATE'2003 , Munich,
Germany, March 2003.
-
S. Doboli and A.A. Minai. Latent attractor selection
for variable length episodic context stimuli with distractors. In
Proc of IJCNN'2003 , Portland, USA, 2003.
-
S. Doboli, G. Gothoskar, A. Doboli. Piecewise-linear
modeling of analog circuits using trained feed-forward neural networks
and adaptive clustering of hidden neurons. In Proc. of
IJCNN'2003 , Portland, USA, 2003.
-
S.S. Kallakuri, A. Doboli and S. Doboli. Applying
stochastic modeling to bus arbitration for network-on-chip
systems. In Proc. of Int'l Conference on VLSI , Las Vegas,
USA, 2003. /P>
-
S. Doboli, A.A. Minai (2002). Latent attractor selection
in the presence of irrelevant stimuli. In Proc. of the World
Congress on Computational Intelligence (WCCI'2002), Hawaii,
USA.
-
S. Doboli, A.A. Minai, and P.J. Best (2002). A
computational model of the interaction between external and
internal cues for the control of hippocampal place cells. In
Proc. of Computational Neuroscience Conference ,
Chicago, USA.
-
S. Doboli, G. Gothoskar, A. Doboli (2002). Modeling of
Analog Circuits based on Model Extraction from Trained Neural
Networks. In Proc. of IEEE International Workshop on
Behavioral Modeling and Simulation , Santa Rosa,
USA.
S. Doboli, A.A. Minai (2000). Network capacity for latent attractor
computation. In Proc. of the International Joint Conference on Neural
Networks (IJCNN'2000), Como, Italy, pp. 222-228.10.
S. Doboli, A.A. Minai (1999). Generating smooth
context-dependent neural representations. In Proc. of the
International Joint Conference of Neural Networks (IJCNN'1999),
Washington D.C., USA.
S. Doboli and R.-E. Precup (1997). The application of a
stability analysis method to fuzzy control systems. In Proc. of
The 7-th World Congress of International Fuzzy Systems
Association (IFSA'97), Prague, Czech Republic,
3:452-457.
S. Doboli and R.-E. Precup (1997). Stability analysis and
design of a class of fuzzy control systems. In Proc. of Fourth
IFAC Conf. on System Structure and Control - SSC'97,
Bucharest, Romania, pp. 361-366.
Abstracts
- S. Doboli, A. Henshley, X. Lin, F. Jiao, and A. Doboli, New measures for evaluating
creativity in scientific publications, presented at the Computational Intelligence
Conference, MIT, Boston, June 10-12, 2014.
- D. E. Weissman, S. Doboli, and A. Esposito, Estimation of sea surface rainrate
from SeaWinds data using neural network methods, International Ocean Vector
Winds Science Team Meeting, 2-4 June 2014, Brest, France.
- S. Doboli: A dynamic cognitive model of novel conceptual combinations, In Proceedings
of the Thirteen Neural computation and Psychology Workshop, (NCPW13),
San Sebastian, Spain, July 2011.
- S. Doboli and V. R. Brown: A stochastic model of the role of semantic networks
in individual and group idea generation, Presented at IJCNN’2011, San Jose, California,
2011.
- S. Doboli, L. Iyer, A.A. Minai, V.R. Brown, and C. Claxton: Dynamics of search
in a neural model of idea generation. In Proceedings of the 12th International
Conference on Cognitive and Neural Systems, Boston, 2008.
V. Brown and S. Doboli (2006). A Neural network simulation of
interactive group brainstorming. Eighteenth Annual Convention
of the Association for Psychological Science , New York.
-
S. Doboli, V. Brown (2005). A neural network model of creative
idea generation in groups. In Proceedings of Ninth International
Conference on Cognitive and Neural Systems , Boston.
S. Doboli, A.A. Minai, and P.J. Best (2000). A model for
non-linear computational aspects in hippocampal place representations.
In Proceedings of Fourth International Conference on Cognitive and
Neural Systems, Boston
B.B. Rettenmaier, A.M. White, S. Doboli, A.A. Minai and
P.J. Best (1999). Place fields of hippocampal pyramidal cells in
rats show hysteresis. Soc. Neurosci. Abs., Vol.2,
120-121.
S. Doboli, A.A. Minai, and P.J. Best
(1999). Context-dependent place representations in the
hippocampus. In Proceedings of Third Conference on Cognitive and
Neural Systems, Boston .